The new statistics for applied linguistics

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The New Statistics is an approach to scholarly research which offers an alternative to the problematic overreliance on significance testing currently plaguing the research literature. This paper describes the problems associated with significance testing and introduces the key concepts of the data-analysis that best fits with the goals of the New Statistics: estimation of effect sizes and confidence intervals. These concepts will be applied in a reanalysis of the summary data from an article that was recently published in this journal. This makes it possible to compare the estimation approach advocated by the New Statistics to the standard significance tests and to discuss potential drawbacks
of this approach as a means of gathering quantitative evidence in support of our
substantive hypotheses
Original languageEnglish
Number of pages15
JournalDutch Journal of Applied Linguistics
Publication statusAccepted/In press - 2020

Keywords

  • New Statistics
  • estimation
  • confidence intervals
  • Bayesian Credible Intervals
  • significance testing
  • P-value

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